This report defines (plain) Dag-like derivations in the purely implicational fragment of minimal logic $M_{\imply}$. Introduce the horizontal collapsing set of rules and the algorithm {\bf HC}. Explain why {\bf HC} can transform any polynomial height-bounded tree-like proof of a $M_{\imply}$ tautology into a smaller dag-like proof. Sketch a proof that {\bf HC} preserves the soundness of any tree-like ND in $M_{\imply}$ in its dag-like version after the horizontal collapsing application. We show some experimental results about applying the compression method to a class of (huge) propositional proofs and an example, with non-hamiltonian graphs, for qualitative analysis. The contributions include the comprehensive presentation of the set of horizontal compression (HC), the (sketch) of the proof that HC rules preserve soundness and the demonstration that the compressed dag-like proofs are polynomially upper-bounded when the submitted tree-like proof is height and foundation poly-bounded. Finally, in the appendix, we outline an algorithm that verifies in polynomial time on the size of the dag-like proofs whether they are valid proofs of their conclusions.
翻译:这篇报告定义了纯蕴涵最小逻辑$M_{\imply}$中的(普通)Dag-like推导。介绍了横向折叠规则和算法HC。解释了为什么HC可以将任何高度有限的树状Proof压缩成更小的Dag-like推导。概述了证明HC在横向折叠应用后保留M_{\imply}中任何树状ND的音准性的证明。还展示了将压缩方法应用于一类(巨大的)命题证明和一个非哈密顿图的例子,以进行定性分析的一些实验结果。贡献包括全面介绍横向压缩(HC)的一组规则,简述了HC规则保留音准性的证明,并演示了当提交的树状Proof高度和基础部分边界有限时,压缩Dag-like推导的上限是多项式的。最后,在附录中,我们概述了一种算法,以证明在Dag-like推导的大小多项式时间上它们是否是其结论的有效证明。